Combining generative aligners and transition-based parsers
A system using posterior distributions and stochastic oracle policies mitigates error propagation in transition-based parsers, improving robustness and generalization by exposing the parser to multiple models and preventing over-fitting.
Patent Information
- Authority / Receiving Office
- US · United States
- Patent Type
- Patents(United States)
- Current Assignee / Owner
- MASSACHUSETTS INST OF TECH
- Filing Date
- 2023-04-27
- Publication Date
- 2026-05-26
AI Technical Summary
Error propagation from inaccuracies in generative alignment to transition-based parser training leads to over-fitting and reduced robustness, particularly in spoken language understanding tasks.
Implement a system that computes a posterior distribution over hard alignments using a generative alignment component, applies a stochastic oracle policy, and incorporates a scaling factor to mitigate error propagation, thereby exposing the parser to multiple explanatory models and preventing over-fitting.
The system effectively reduces error propagation and over-fitting, enhancing the parser's robustness and generalization capabilities by propagating uncertainty from the generative stage to the parser training stage.
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Abstract
Citation Information
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